@inproceedings{d511fd84b8874fbcb330c6a960a1e975,
title = "Exploring Interpretability in Open Government Data with ChatGPT",
abstract = "The global initiative supporting open government data (OGD) has witnessed significant strides in the last decade. This study delves into the prospective integration of Artificial Intelligence (AI) with Hippolyta, a framework meticulously crafted to amplify the interpretability of government data. The aim is to scrutinize the viability of this integration, conducting a technical investigation in the realms of open government data and artificial intelligence. In contributing to the expansive field of OGD, this research focuses on elucidating the interpretability of data originating from governmental sources. Through an exploration of the technical feasibility surrounding the fusion of AI with Hippolyta, we aim to pave the path for advancements, fostering heightened interpretability and overarching enhancements in the understanding of government data.",
keywords = "data interpretability, Open government data",
author = "Raissa Barcellos and Flavia Bernardini and Jos{\'e} Viterbo and Anneke Zuiderwijk",
note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 25th Annual International Conference on Digital Government Research, DGO 2024 ; Conference date: 11-06-2024 Through 14-06-2024",
year = "2024",
doi = "10.1145/3657054.3657079",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery (ACM)",
pages = "186--195",
editor = "Hsin-Chung Liao and Cid, {David Duenas} and Macadar, {Marie Anne} and Flavia Bernardini",
booktitle = "Proceedings of the 25th Annual International Conference on Digital Government Research, DGO 2024",
address = "United States",
}